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1 changed files with 10 additions and 7 deletions
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@ -12,8 +12,9 @@ using namespace std;
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class Traite_image {
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public:
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const static int SENSITIVITY_VALUE = 40;
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const static int SENSITIVITY_VALUE = 30;
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const static int BLUR_Size = 15;
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const static int CLOSE_SIZE = 50;
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cv::Mat prev;
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@ -161,7 +162,7 @@ class Traite_image {
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//~ dilated_thres.copyTo(output);
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cv::Mat closed_thres;
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cv::Mat structuringElement = getStructuringElement(cv::MORPH_ELLIPSE, cv::Size(40, 40));
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cv::Mat structuringElement = getStructuringElement(cv::MORPH_ELLIPSE, cv::Size(CLOSE_SIZE, CLOSE_SIZE));
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cv::morphologyEx( thres, closed_thres, cv::MORPH_CLOSE, structuringElement );
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//closed_thres.copyTo(output);
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@ -190,11 +191,13 @@ class Traite_image {
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//largestContourVec.push_back(contours.at(contours.size()-1));
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//make a bounding rectangle around the largest contour then find its centroid
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//this will be the object's final esticv::Mated position.
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for(int i=0; i<contours.size();i++)
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{
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objectBoundingRectangle = cv::boundingRect(contours[i]);
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cv::rectangle(output, objectBoundingRectangle, cv::Scalar(0, 255, 0), 2);
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}
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//~ for(int i=0; i<contours.size();i++)
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//~ {
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//~ objectBoundingRectangle = cv::boundingRect(contours[i]);
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//~ cv::rectangle(output, objectBoundingRectangle, cv::Scalar(0, 255, 0), 2);
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//~ }
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objectBoundingRectangle = cv::boundingRect(contours.at(contours.size()-1));
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cv::rectangle(output, objectBoundingRectangle, cv::Scalar(0, 255, 0), 2);
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}
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//make some temp x and y variables so we dont have to type out so much
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//~ int x = objectBoundingRectangle.x;
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